CN110399763A - Face identification method and system - Google Patents
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- CN110399763A CN110399763A CN201810375426.3A CN201810375426A CN110399763A CN 110399763 A CN110399763 A CN 110399763A CN 201810375426 A CN201810375426 A CN 201810375426A CN 110399763 A CN110399763 A CN 110399763A
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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Abstract
The invention discloses a kind of face identification method and systems, this method comprises: acquisition active user's facial image；Obtain local motion end message collection；Face image set is referred to according to global information of mobile terminal collection and its corresponding overall situation, obtains local-reference face image set corresponding with the local motion end message collection；Active user's facial image is matched with the local-reference facial image to carry out recognition of face.By obtaining local motion end message collection, and face image set is referred to according to global information of mobile terminal collection and its corresponding overall situation, local-reference face image set corresponding with the local motion end message collection is obtained, so that the huge overall situation of data volume is contracted to the small local-reference face image set of data volume with reference to face image set.Recognition of face efficiency and precision can be substantially improved in this method, while not needing user and being actively entered corresponding identity information, improve user experience.
Description
Technical field
The present invention relates to computer and electronic apparatus application technical field more particularly to a kind of face identification method be
System.
Background technique
Recognition of face gradually enters into daily life, for example is applied in multiple fields such as safety check, traffic.Face
The key problem of identification is how to improve accuracy of identification and recognition rate, with identification hardware and the continuous hair of recognizer
Exhibition, face recognition application field is also more and more extensive, for example consumer level depth camera and the maturation of deep learning algorithm are given
Payment brings the high 3D face payment scheme of safety.
Recognition of face can be divided into 1v 1 identification and 1v N identification, wherein 1v 1 identification i.e. judge current face (1) and
Pre-stored single refer to face (1) is compared, and 1v N identification is then to judge current face (1) and pre-stored N
It is a to be compared with reference to face (N), to find target face identical with current face.1v1 is identified, is either known at present
Other precision and recognition rate can reach commercial horizontal, and 1vN is identified, when N reaches hundreds of thousands or millions of even higher
Quantity when, either accuracy of identification and recognition rate are unable to reach commercial level.
Summary of the invention
It is identified for 1v N, the present invention proposes a kind of face identification method and system, and recognition of face can be substantially improved
Rate and precision, and user experience is high.
Face identification method provided by the invention, comprising: acquisition active user's facial image；Obtain local motion terminal letter
Breath collection；Face image set is referred to according to global information of mobile terminal collection and its corresponding overall situation, is obtained whole with the local motion
The corresponding local-reference face image set of client information collection；By active user's facial image and the local-reference facial image
It is matched to carry out recognition of face.
In some embodiments, the equipment for obtaining local motion end message collection includes: base station, WIFI equipment, indigo plant
One of tooth equipment and GPS device are a variety of；The facial image includes color image, infrared image, gray level image and depth
Spend one of image or a variety of.
In some embodiments, this method further include: being executed according to face recognition result includes face unlock, face branch
It pays, one of tasks such as face safety check or a variety of.
The present invention also provides a kind of face identification systems, comprising: man face image acquiring terminal, for acquiring active user people
Face image；Positioning terminal, for obtaining the local motion end message collection comprising active user in coverage area；Server,
For storing global information of mobile terminal collection and its corresponding overall situation with reference to face image set；Processor is used for: according to described complete
Office's information of mobile terminal collection and the overall situation refer to face image set, obtain office corresponding with the local motion end message collection
Portion refers to face image set, and, active user's facial image is matched with the local-reference facial image with
Carry out recognition of face.
In further embodiments, face identification system provided by the invention, comprising: positioning terminal；Man face image acquiring
Terminal, for acquiring active user's facial image and extracting the positioning terminal id information；Server, for storing global shifting
Dynamic end message collection and its corresponding overall situation refer to face image set；Processor is used for: according to the positioning terminal id information,
Oriented from the global information of mobile terminal concentration have information of mobile terminal identical with the positioning terminal id information from
And local motion end message collection is formed, while will all ginsengs corresponding with local motion end message concentration information of mobile terminal
It examines facial image and forms local-reference face image set, and, by active user's facial image and the local-reference people
Face image is matched to carry out recognition of face.
In some embodiments, the processor is also used to, paid based on face recognition result execution including face,
One of tasks such as face unlock, face safety check are a variety of.
Beneficial effects of the present invention: by obtaining local motion end message collection, and according to global information of mobile terminal collection
And its it is corresponding global with reference to face image set, obtain local-reference face figure corresponding with the local motion end message collection
Image set, so that the huge overall situation of data volume is contracted to the small local-reference face image set of data volume with reference to face image set；
Active user's facial image is matched with local-reference face image set to carry out recognition of face again, people can be substantially improved
Face recognition efficiency and precision, while not needing user and being actively entered corresponding identity information, improve user experience.
Detailed description of the invention
Fig. 1 is face identification system schematic diagram in the prior art.
Fig. 2 is the face identification system schematic diagram according to one embodiment of the invention.
Fig. 3 is the face identification method schematic diagram according to one embodiment of the invention.
Specific embodiment
With reference to embodiment and compares attached drawing invention is further described in detail, it should be emphasised that,
Following the description is only exemplary, the range and its application being not intended to be limiting of the invention.
Face identification system in the prior art is as shown in Figure 1, mainly include server and man face image acquiring terminal.Its
In, server is preserved a large amount of (for example quantity is M) and be can wrap with reference to facial image and its corresponding identity information, identity information
It includes: one of account, title, identification card number, information of mobile terminal (such as cell-phone number) or a variety of combinations.Man face image acquiring
Terminal contains the camera for acquiring active user's facial image.In addition to this, it is gone back in server or man face image acquiring terminal
Memory etc. further containing processor and the application program for being stored with recognition of face task, to carry out recognition of face.In
In one embodiment, server is Alipay cloud server, and man face image acquiring terminal is to be equipped with Alipay payment terminals to answer
With the Intelligent hardware of program.
When user needs to carry out recognition of face task, such as brush face payment/unlock, safety check reach a standard, in the prior art for
The recognition rate and accuracy of identification for improving face identification system, by user to be identified to system input identity information
Afterwards, 1v 1 is converted by 1v N identification to identify, mainly include following steps:
Firstly, when user is by face (lower to be known as current face) close man face image acquiring terminal, inner camera acquisition
The facial image of current face, camera here can be two-dimensional camera and be also possible to three-dimensional depth camera, and facial image can be with
It is one of color image, infrared image, gray level image, depth image etc. or a variety of, in one embodiment, camera is
RGBD camera, the collected current face's image of institute includes depth image and color image, i.e. RGBD image.
Secondly, user inputs corresponding identity information to man face image acquiring terminal, for example, account, title, identification card number,
Information of mobile terminal (such as cell-phone number).After getting identity information, man face image acquiring terminal arrives identity information feedback
Server, and extract user corresponding with the identity information from server and refer to facial image.It should be noted that server
As background end, in advance by the modes such as Account Registration, real-name authentication save magnanimity (being assumed to be M) identity information and
Its is corresponding with reference to facial image, for example the upload of facial image is realized by individual mobile terminal；The quantity of M can be thousand
Ten thousand grades even hundred million grades.
Finally, the processor in server or man face image acquiring terminal executes current face's image and refers to facial image
Recognition of face task, matched including being identified to current face's image with feature extraction and the feature with reference to facial image.
After identifying successfully, man face image acquiring terminal can also further execute follow-up work, for example safety check is appointed
Rays safety detection apparatus is then controlled for business allows user to pass through；And payment task is then executed accordingly withhold operation and prompt payment at
Function.User can also be prompted to input password further to ensure safety of payment when execution is withholdd and operated；Then for unlock task
Control unlock.
In method as above, need user that input identity information is actively gone to go out and this in order to backstage (server) removal search
Identity information is corresponding to refer to facial image, in order to the recognition of face of subsequent execution 1v1, to improve recognition efficiency and identification
Precision.However, the shortcomings that this mode is poor user experience, it is almost like with traditional fingerprint recognition, two dimensional code identification process,
The operation occupied time long and different user, the time of operation also difference；In addition, this is cumbersome, can not give
User brings quick, convenient and fast experience.
To solve the above problems, the present embodiment provides a kind of face identification systems, as shown in Fig. 2, the system includes: service
Device, man face image acquiring terminal and positioning terminal.
Server is stored with a large amount of (for example quantity is M) with reference to facial image and corresponding identity information, identity letter
Breath may include: one of account, title, identification card number, information of mobile terminal (such as cell-phone number) or a variety of combinations, difference
Identity information between mutually bind, it is final realize it is consistent；For ease of description, here will largely with reference to facial image and its
Corresponding identity information is known as global with reference to face image set and global set of identity information (including global account's collection, global name
Collection, global information of mobile terminal collection etc.).In some embodiments, server also includes processor, for carrying out data processing,
For example execute face identification mission etc., it can also include communication interface.
Man face image acquiring terminal contains the camera for acquiring active user's facial image, what active user here referred to
It is the target user in this recognition of face, camera can be two-dimensional camera and be also possible to three-dimensional depth camera, and facial image can
To be one of color image, infrared image, gray level image, depth image etc. or a variety of, in one embodiment, camera is
RGBD camera, the collected active user's facial image of institute includes depth image and color image, i.e. RGBD image, in a reality
It applies in example, camera is structure light depth camera, and the collected active user's facial image of institute includes infrared structure light image, relatively
It is implied with depth information in depth, gray scale, color image etc., infrared structure light image, while also including gray scale and cromogram
Texture information as in, therefore can be reached simultaneously using infrared structure light image progress recognition of face with depth image and line
Manage the double dominant of image.In some embodiments, man face image acquiring terminal also includes processor for carrying out at data
Reason and control, for example execute face identification mission etc., can also include communication interface, in order to be communicated with server etc..
Positioning terminal is used to obtain the information of mobile terminal in its coverage area.Generally, by man face image acquiring terminal
It is arranged in the coverage area of positioning terminal, when current user goes to carry out recognition of face, the available current use of positioning terminal
The portable information of mobile terminal in family.It should be noted that often not only only having in the range of positioning terminal is covered
Target user also has other users, therefore is comprising multiple mobile terminals including active user acquired in positioning terminal
Information (is assumed to be N), for ease of description, will be known as local motion end comprising multiple information of mobile terminal including active user
Client information collection.It is understood that local motion end message collection should be the subset of global information of mobile terminal collection.
Positioning terminal may include but be not limited to following several:
(1) base station
When mobile terminal enters in the range of base station covers, identification of base stations goes out information of mobile terminal, such as cell-phone number,
Termination ID etc. (information of mobile terminal and face recognition application account are bound).The range radius covered by base station is often
It is less, such as several hundred rice, therefore the number of users entered within the scope of this tends not to too much, such as thousands of or tens of thousands of etc..As a result,
Positioning terminal can identify mobile terminal quantity (such as N) and corresponding information of mobile terminal within the scope of its, and will be mobile whole
Client information is saved into its memory.
(2) WIFI equipment, such as WIFI transmitter
When mobile terminal enters in the range of the WIFI equipment covers, WIFI equipment identifies information of mobile terminal,
And it saves into its memory.The range radius that usual WIFI equipment is covered is several meters to tens meters, and slightly smaller than base station is covered
Lid range, therefore when WIFI equipment is as positioning terminal, the mobile terminal quantity in range can achieve it is several hundred even more
It is few.
(3) bluetooth equipment
When mobile terminal enters in the range of the bluetooth equipment covers, bluetooth equipment identifies information of mobile terminal,
And it saves into its memory.
(4) GPS device
After GPS device inside mobile terminal is opened, the i.e. identified positioning of mobile terminal, information of mobile terminal (including move
The information such as account information, the position of dynamic terminal) it is stored in memory.It is different from base station, WIFI equipment, bluetooth equipment
It is that the mobile terminal quantity that GPS device is stored is very huge, or even can is more than the mobile terminal quantity that server end saves.
Therefore it when being positioned, often chooses certain region and is positioned, such as centered on man face image acquiring terminal, one
Determine in the range of radius for localization region.
(5) base station, WIFI equipment, bluetooth equipment, two or more in GPS device.
The mobile terminal quantity that GPS device can identify is big, but is easy to be limited by cloud layer and shelter；Bluetooth equipment,
The mobile terminal quantity that WIFI equipment can identify is relatively small, but is influenced by shelter smaller, and its is at low cost；Base station is set
Relatively always for the mobile terminal quantity that can be identified, but its is at high cost.Therefore two or more among this several person are utilized, it can be with
Overall cost and the accuracy for improving positioning.When positioning terminal is using two in base station, WIFI equipment, bluetooth equipment, GPS device
When planting or is a variety of, the information of mobile terminal obtained can be the set of information of mobile terminal collection acquired in individual equipment,
It can be the intersection of information of mobile terminal collection acquired in individual equipment.It is understood that positioning terminal may be other
Have identify or positioning mobile terminal function equipment.
The effect of positioning terminal is that the mobile terminal in its coverage area is positioned and identified automatically, shifting here
Dynamic terminal is usually that user carries and equipment corresponding with user identity, such as mobile phone, plate, apparatus such as computer.When with
It when family carrying mobile terminal enters in the range of positioning terminal covers, will be identified by positioning terminal, positioning terminal can be right in real time
Information of mobile terminal in its coverage area is updated in real time, it is believed that positioning terminal obtains its covering in real time
The information of mobile terminal of all users in range, i.e. local motion end message collection.Generally, according to the similar of positioning terminal
And the density of population, local motion end message concentrate the quantity of user also different, and as little as tens, it is up to tens of thousands of, but also much
Less than the number of users that global information of mobile terminal concentrates ten million or excessively hundred million.
Contain one or more processors (sub-processor) in man face image acquiring terminal and/or server, for holding
Pedestrian's face identification mission.In one embodiment, recognition of face task includes following steps, as shown in Figure 3:
S1. active user's facial image is acquired；
S2. local motion end message collection is obtained；
S3. face image set, acquisition and local motion are referred to according to global information of mobile terminal collection and its corresponding overall situation
The corresponding local-reference face image set of end message collection；
S4. active user's facial image collected is matched with local-reference face image set to realize that face is known
Not.
Step S1 as above is executed by the processor control camera in man face image acquiring terminal；Step S2 both can be by
Positioning terminal executes, and can also be executed by server；Step S3 is executed by server；Step S4 can both be executed by server,
It can also be executed by man face image acquiring terminal.System according to Fig.2, when step S2 and step S4 is by different terminal institutes
When execution, detailed process difference.
In some embodiments, when by positioning terminal execute step S2, man face image acquiring terminal execute step S4 when,
Detailed process is as follows:
S11. camera of the user in man face image acquiring terminal, processor control camera and acquire active user's face figure
Picture.
S21. man face image acquiring terminal is communicated with the positioning terminal and server interconnection respectively.Positioning is eventually
End real-time update enters the local motion end message collection in its coverage area, and man face image acquiring terminal handler is from positioning
Local motion end message collection is read in terminal, and local motion end message collection is transmitted to server.
S31. after server receives local information of mobile terminal collection, by processor according to global information of mobile terminal collection and entirely
Office refers to face image set, by modes such as matching search, finds and concentrates all mobile terminals to believe with local motion end message
The corresponding local-reference facial image of breath, and form local-reference face image set.Then by local-reference face image set
It is transmitted to man face image acquiring terminal.
S41. the processor in man face image acquiring terminal is by active user's facial image collected and local-reference people
Face image collection is matched to realize recognition of face.For example judge whether active user concentrates in local-reference facial image, or
Person concentrates the identity information (such as information of mobile terminal) etc. of confirmation active user from local-reference facial image.
In further embodiments, when by positioning terminal execution step S2, when server executes step S4, detailed process
It is as follows:
S12. the processor control camera in man face image acquiring terminal acquires active user's facial image and is sent to clothes
Business device.
S22. man face image acquiring terminal is communicated with the positioning terminal and server interconnection respectively；Positioning is eventually
End real-time update enters the local motion end message collection in its coverage area, and the processor of man face image acquiring terminal is from calmly
Local motion end message collection is read in the terminal of position, and local motion end message collection is transmitted to server.
S32. after server receives local information of mobile terminal collection, by processor according to global information of mobile terminal collection and entirely
Office refers to face image set, by modes such as matching search, finds and concentrates all mobile terminals to believe with local motion end message
The corresponding local-reference facial image of breath, and form local-reference face image set.Then by local-reference face image set
It is transmitted to man face image acquiring terminal.
S42. the processor in server active user's facial image is matched with local-reference face image set with
It realizes recognition of face, and recognition result is sent to man face image acquiring terminal.
Compared with the prior art, without user above embodiment is manually entered identity information, but certainly by positioning terminal
N number of first movement terminal entrained by the dynamic user identified in its coverage area, and then 1v M is converted to 1v N's
Identification also can achieve high speed, high-precision recognition of face since the quantity of N is much smaller than the number of users of server end.
Entire face recognition process only needs user by face against camera, and without other operation bidirectionals, experience effect is splendid.
In some embodiments, it is contemplated that the rights concerns of positioning terminal and man face image acquiring terminal, such as when positioning is whole
When end by base station, recognition of face terminal is that common trade company possesses equipment, common trade company is often not directly from base station reading
The permission of other users.It is then difficult to read the number of users within the scope of current base station from base station at this time, i.e., can not read part
Information of mobile terminal collection.In order to solve this problem, in one embodiment, it is contemplated that mobile terminal possesses where reading itself
The permission of base station information (such as base station IDs), thus when user carry mobile terminal enter where base station (or other positioning
Terminal) in overlay area when, the ID of base station where mobile terminal will extract, while the base station IDs are reported into server.Service
It then also include Base station ID information in device institute memory mobile terminal information.In addition, man face image acquiring terminal is also equipped with simultaneously
Accordingly with the device of base station communication (such as SIM card and corresponding communication hardware), then man face image acquiring terminal can also
With by identification of base stations, while man face image acquiring terminal can read base station IDs.When executing face identification mission, facial image
Acquisition terminal will report to server based on the base station IDs being currently located, and server is reported according to current face's Image Acquisition terminal
Base station IDs orient all information of mobile terminal under the ID, form local motion end message collection, while server also can
Local-reference face image set corresponding with the local motion end message collection is generated, then by server or man face image acquiring
Processor in terminal executes active user's facial image and the identification matching task with reference to face image set.Above procedure has more
The step of body, is as follows:
S13. camera of the user in man face image acquiring terminal, processor control camera and acquire active user's face figure
Picture.
S23. man face image acquiring terminal is communicated with server interconnection.Man face image acquiring terminal reads positioning
Terminal ID info, and it is uploaded to server.
S33. it after server receives positioning terminal id information, concentrates and finds and the id information from global information of mobile terminal
Identical all information of mobile terminal will be concentrated with local motion end message and be moved to form local motion end message collection
Dynamic end message is corresponding all with reference to facial image formation local-reference face image set.Then by local-reference facial image
Collection is transmitted to man face image acquiring terminal.
S43. the processor in man face image acquiring terminal is by active user's facial image collected and local-reference people
Face image collection is matched to realize recognition of face.For example judge whether active user concentrates in local-reference facial image, or
Person concentrates the identity information (such as information of mobile terminal) etc. of confirmation active user from local-reference facial image.
It is understood that recognition of face can also be executed directly by server in the present embodiment, server is by face
Recognition result is sent to man face image acquiring terminal.
In some embodiments, it is also possible to determine by other means the local users in active user location
Position, to reduce the matched object user's number of face.
Above-described facial image is interpreted as sensu lato facial image, either the people directly acquired by camera
Face image can also carry out the eigenface after feature extraction to facial image, or be able to reflect other categories of face characteristic
Property etc..
The above content is combine it is specific/further detailed description of the invention for preferred embodiment, cannot recognize
Fixed specific implementation of the invention is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs,
Without departing from the inventive concept of the premise, some replacements or modifications can also be made to the embodiment that these have been described,
And these substitutions or variant all shall be regarded as belonging to protection scope of the present invention.
Claims (10)
1. a kind of face identification method characterized by comprising
Acquire active user's facial image；
Obtain local motion end message collection；
Face image set is referred to according to global information of mobile terminal collection and its corresponding overall situation, is obtained and the local motion terminal
The corresponding local-reference face image set of information collection；
Active user's facial image is matched with the local-reference facial image to carry out recognition of face.
2. face identification method as described in claim 1, which is characterized in that described to obtain setting for local motion end message collection
Standby includes: one of base station, WIFI equipment, bluetooth equipment and GPS device or a variety of.
3. face identification method as described in claim 1, which is characterized in that the facial image includes color image, infrared
One of image, gray level image and depth image are a variety of.
4. face identification method as described in claim 1, which is characterized in that further include: packet is executed according to face recognition result
Include one of face unlock, face payment, face safety check task or a variety of.
5. a kind of face identification system characterized by comprising
Man face image acquiring terminal, for acquiring active user's facial image；
Positioning terminal, for obtaining the local motion end message collection comprising active user in coverage area；
Server, for storing global information of mobile terminal collection and its corresponding overall situation with reference to face image set；
Processor is used for:
Face image set is referred to according to the global information of mobile terminal collection and the overall situation, is obtained and the local motion terminal
The corresponding local-reference face image set of information collection, and,
Active user's facial image is matched with the local-reference facial image to carry out recognition of face.
6. face identification system as claimed in claim 5, which is characterized in that the processor is also used to, and is based on recognition of face
As a result execute includes one of face payment, face unlock, face safety check task or a variety of.
7. face identification system as claimed in claim 5, which is characterized in that the positioning terminal include base station, WIFI equipment,
One of bluetooth equipment and GPS device are a variety of.
8. a kind of face identification system characterized by comprising
Positioning terminal；
Man face image acquiring terminal, for acquiring active user's facial image and extracting the positioning terminal id information；
Server, for storing global information of mobile terminal collection and its corresponding overall situation with reference to face image set；
Processor is used for:
According to the positioning terminal id information, orienting from the global information of mobile terminal concentration has and the positioning terminal
The identical information of mobile terminal of id information, while will be with local motion end message collection to forming local motion end message collection
Middle information of mobile terminal is corresponding all with reference to facial image formation local-reference face image set, and,
Active user's facial image is matched with the local-reference facial image to carry out recognition of face.
9. face identification system as claimed in claim 8, which is characterized in that the processor is also used to, and is based on recognition of face
As a result execute includes one of face payment, face unlock, face safety check task or a variety of.
10. face identification system as claimed in claim 8, which is characterized in that the positioning terminal includes that base station, WIFI are set
One of standby, bluetooth equipment and GPS device are a variety of.
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| CN201810375426.3A CN110399763B (en) | 2018-04-24 | 2018-04-24 | Face recognition method and system |
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| CN201810375426.3A CN110399763B (en) | 2018-04-24 | 2018-04-24 | Face recognition method and system |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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